Overview

Brought to you by YData

Dataset statistics

Number of variables	21
Number of observations	2315
Missing cells	2305
Missing cells (%)	4.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	364.1 KiB
Average record size in memory	161.1 B

Variable types

Categorical	7
Text	11
DateTime	1
Numeric	1
Boolean	1

Alerts

`discipline` is highly overall correlated with `event_type` and 1 other fields	High correlation
`event_type` is highly overall correlated with `discipline`	High correlation
`gender` is highly overall correlated with `team_gender`	High correlation
`medal_code` is highly overall correlated with `medal_type`	High correlation
`medal_type` is highly overall correlated with `medal_code`	High correlation
`team_gender` is highly overall correlated with `discipline` and 1 other fields	High correlation
`is_medallist` is highly imbalanced (85.7%)	Imbalance
`team` has 760 (32.8%) missing values	Missing
`team_gender` has 760 (32.8%) missing values	Missing
`code_team` has 760 (32.8%) missing values	Missing

Reproduction

Analysis started	2025-03-12 19:35:50.926063
Analysis finished	2025-03-12 19:35:51.384183
Duration	0.46 seconds
Software version	ydata-profiling vv4.12.2
Download configuration	config.json

medal_date
Categorical

Distinct	16
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	18.2 KiB

2024-08-10	371
2024-08-09	276
2024-08-03	244
2024-08-08	180
2024-08-11	178
Other values (11)	1066

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	23150
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2024-07-27
2nd row	2024-07-27
3rd row	2024-07-27
4th row	2024-07-27
5th row	2024-07-27

Common Values

Value	Count	Frequency (%)
2024-08-10	371	16.0%
2024-08-09	276	11.9%
2024-08-03	244	10.5%
2024-08-08	180	7.8%
2024-08-11	178	7.7%
2024-08-07	124	5.4%
2024-08-04	121	5.2%
2024-08-02	120	5.2%
2024-07-30	113	4.9%
2024-07-27	112	4.8%
Other values (6)	476	20.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2024-08-10	371	16.0%
2024-08-09	276	11.9%
2024-08-03	244	10.5%
2024-08-08	180	7.8%
2024-08-11	178	7.7%
2024-08-07	124	5.4%
2024-08-04	121	5.2%
2024-08-02	120	5.2%
2024-07-30	113	4.9%
2024-07-27	112	4.8%
Other values (6)	476	20.6%

Most occurring characters

Value	Count	Frequency (%)
0	6433	27.8%
2	4998	21.6%
-	4630	20.0%
4	2436	10.5%
8	2095	9.0%
1	912	3.9%
7	683	3.0%
3	443	1.9%
9	365	1.6%
5	99	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	23150	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	6433	27.8%
2	4998	21.6%
-	4630	20.0%
4	2436	10.5%
8	2095	9.0%
1	912	3.9%
7	683	3.0%
3	443	1.9%
9	365	1.6%
5	99	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	23150	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	6433	27.8%
2	4998	21.6%
-	4630	20.0%
4	2436	10.5%
8	2095	9.0%
1	912	3.9%
7	683	3.0%
3	443	1.9%
9	365	1.6%
5	99	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	23150	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	6433	27.8%
2	4998	21.6%
-	4630	20.0%
4	2436	10.5%
8	2095	9.0%
1	912	3.9%
7	683	3.0%
3	443	1.9%
9	365	1.6%
5	99	0.4%

medal_type
Categorical

High correlation

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	18.2 KiB

Bronze Medal	807
Silver Medal	756
Gold Medal	752

Length

Max length	12
Median length	12
Mean length	11.350324
Min length	10

Characters and Unicode

Total characters	26276
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Gold Medal
2nd row	Silver Medal
3rd row	Bronze Medal
4th row	Gold Medal
5th row	Silver Medal

Common Values

Value	Count	Frequency (%)
Bronze Medal	807	34.9%
Silver Medal	756	32.7%
Gold Medal	752	32.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
medal	2315	50.0%
bronze	807	17.4%
silver	756	16.3%
gold	752	16.2%

Most occurring characters

Value	Count	Frequency (%)
e	3878	14.8%
l	3823	14.5%
d	3067	11.7%
	2315	8.8%
M	2315	8.8%
a	2315	8.8%
r	1563	5.9%
o	1559	5.9%
B	807	3.1%
n	807	3.1%
Other values (5)	3827	14.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	26276	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	3878	14.8%
l	3823	14.5%
d	3067	11.7%
	2315	8.8%
M	2315	8.8%
a	2315	8.8%
r	1563	5.9%
o	1559	5.9%
B	807	3.1%
n	807	3.1%
Other values (5)	3827	14.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	26276	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	3878	14.8%
l	3823	14.5%
d	3067	11.7%
	2315	8.8%
M	2315	8.8%
a	2315	8.8%
r	1563	5.9%
o	1559	5.9%
B	807	3.1%
n	807	3.1%
Other values (5)	3827	14.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	26276	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	3878	14.8%
l	3823	14.5%
d	3067	11.7%
	2315	8.8%
M	2315	8.8%
a	2315	8.8%
r	1563	5.9%
o	1559	5.9%
B	807	3.1%
n	807	3.1%
Other values (5)	3827	14.6%

medal_code
Categorical

High correlation

Distinct	3
Distinct (%)	0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	18.2 KiB

3.0	806
2.0	756
1.0	752

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	6942
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	2.0
3rd row	3.0
4th row	1.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
3.0	806	34.8%
2.0	756	32.7%
1.0	752	32.5%
(Missing)	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.0	806	34.8%
2.0	756	32.7%
1.0	752	32.5%

Most occurring characters

Value	Count	Frequency (%)
.	2314	33.3%
0	2314	33.3%
3	806	11.6%
2	756	10.9%
1	752	10.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6942	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	2314	33.3%
0	2314	33.3%
3	806	11.6%
2	756	10.9%
1	752	10.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6942	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	2314	33.3%
0	2314	33.3%
3	806	11.6%
2	756	10.9%
1	752	10.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6942	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	2314	33.3%
0	2314	33.3%
3	806	11.6%
2	756	10.9%
1	752	10.8%

name
Text

Distinct	2053
Distinct (%)	88.7%
Missing	0
Missing (%)	0.0%
Memory size	18.2 KiB

Length

Max length	35
Median length	30
Mean length	14.051404
Min length	3

Characters and Unicode

Total characters	32529
Distinct characters	58
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1852 ?
Unique (%)	80.0%

Sample

1st row	EVENEPOEL Remco
2nd row	GANNA Filippo
3rd row	van AERT Wout
4th row	BROWN Grace
5th row	HENDERSON Anna

Value	Count	Frequency (%)
van	31	0.6%
de	25	0.5%
wang	19	0.4%
lee	17	0.3%
kim	17	0.3%
yang	16	0.3%
thomas	16	0.3%
sarah	16	0.3%
matthew	14	0.3%
smith	14	0.3%
Other values (3398)	4754	96.3%

Most occurring characters

Value	Count	Frequency (%)
	2624	8.1%
A	1980	6.1%
a	1929	5.9%
E	1553	4.8%
i	1344	4.1%
e	1338	4.1%
N	1271	3.9%
I	1211	3.7%
n	1207	3.7%
R	1198	3.7%
Other values (48)	16874	51.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	32529	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	2624	8.1%
A	1980	6.1%
a	1929	5.9%
E	1553	4.8%
i	1344	4.1%
e	1338	4.1%
N	1271	3.9%
I	1211	3.7%
n	1207	3.7%
R	1198	3.7%
Other values (48)	16874	51.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	32529	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	2624	8.1%
A	1980	6.1%
a	1929	5.9%
E	1553	4.8%
i	1344	4.1%
e	1338	4.1%
N	1271	3.9%
I	1211	3.7%
n	1207	3.7%
R	1198	3.7%
Other values (48)	16874	51.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	32529	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	2624	8.1%
A	1980	6.1%
a	1929	5.9%
E	1553	4.8%
i	1344	4.1%
e	1338	4.1%
N	1271	3.9%
I	1211	3.7%
n	1207	3.7%
R	1198	3.7%
Other values (48)	16874	51.9%

gender
Categorical

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	18.2 KiB

Female	1162
Male	1153

Length

Max length	6
Median length	6
Mean length	5.0038877
Min length	4

Characters and Unicode

Total characters	11584
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Male
2nd row	Male
3rd row	Male
4th row	Female
5th row	Female

Common Values

Value	Count	Frequency (%)
Female	1162	50.2%
Male	1153	49.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
female	1162	50.2%
male	1153	49.8%

Most occurring characters

Value	Count	Frequency (%)
e	3477	30.0%
a	2315	20.0%
l	2315	20.0%
F	1162	10.0%
m	1162	10.0%
M	1153	10.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	11584	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	3477	30.0%
a	2315	20.0%
l	2315	20.0%
F	1162	10.0%
m	1162	10.0%
M	1153	10.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	11584	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	3477	30.0%
a	2315	20.0%
l	2315	20.0%
F	1162	10.0%
m	1162	10.0%
M	1153	10.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	11584	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	3477	30.0%
a	2315	20.0%
l	2315	20.0%
F	1162	10.0%
m	1162	10.0%
M	1153	10.0%

country_code
Text

Distinct	92
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	18.2 KiB

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	6945
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14 ?
Unique (%)	0.6%

Sample

1st row	BEL
2nd row	ITA
3rd row	BEL
4th row	AUS
5th row	GBR

Value	Count	Frequency (%)
usa	330	14.3%
fra	187	8.1%
chn	168	7.3%
gbr	162	7.0%
aus	123	5.3%
ned	118	5.1%
ger	113	4.9%
ita	88	3.8%
esp	83	3.6%
jpn	82	3.5%
Other values (82)	861	37.2%

Most occurring characters

Value	Count	Frequency (%)
A	982	14.1%
R	838	12.1%
S	634	9.1%
N	624	9.0%
U	599	8.6%
E	457	6.6%
G	335	4.8%
B	310	4.5%
C	280	4.0%
P	226	3.3%
Other values (16)	1660	23.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6945	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	982	14.1%
R	838	12.1%
S	634	9.1%
N	624	9.0%
U	599	8.6%
E	457	6.6%
G	335	4.8%
B	310	4.5%
C	280	4.0%
P	226	3.3%
Other values (16)	1660	23.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6945	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	982	14.1%
R	838	12.1%
S	634	9.1%
N	624	9.0%
U	599	8.6%
E	457	6.6%
G	335	4.8%
B	310	4.5%
C	280	4.0%
P	226	3.3%
Other values (16)	1660	23.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6945	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	982	14.1%
R	838	12.1%
S	634	9.1%
N	624	9.0%
U	599	8.6%
E	457	6.6%
G	335	4.8%
B	310	4.5%
C	280	4.0%
P	226	3.3%
Other values (16)	1660	23.9%

country
Text

Distinct	92
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	18.2 KiB

Length

Max length	19
Median length	16
Mean length	8.2492441
Min length	3

Characters and Unicode

Total characters	19097
Distinct characters	53
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14 ?
Unique (%)	0.6%

Sample

1st row	Belgium
2nd row	Italy
3rd row	Belgium
4th row	Australia
5th row	Great Britain

Value	Count	Frequency (%)
united	330	11.3%
states	330	11.3%
france	187	6.4%
china	172	5.9%
great	162	5.5%
britain	162	5.5%
australia	123	4.2%
netherlands	118	4.0%
germany	113	3.9%
italy	88	3.0%
Other values (95)	1148	39.1%

Most occurring characters

Value	Count	Frequency (%)
a	2869	15.0%
e	1862	9.8%
t	1785	9.3%
n	1728	9.0%
i	1501	7.9%
r	1349	7.1%
d	667	3.5%
s	650	3.4%
	618	3.2%
l	569	3.0%
Other values (43)	5499	28.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	19097	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	2869	15.0%
e	1862	9.8%
t	1785	9.3%
n	1728	9.0%
i	1501	7.9%
r	1349	7.1%
d	667	3.5%
s	650	3.4%
	618	3.2%
l	569	3.0%
Other values (43)	5499	28.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	19097	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	2869	15.0%
e	1862	9.8%
t	1785	9.3%
n	1728	9.0%
i	1501	7.9%
r	1349	7.1%
d	667	3.5%
s	650	3.4%
	618	3.2%
l	569	3.0%
Other values (43)	5499	28.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	19097	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	2869	15.0%
e	1862	9.8%
t	1785	9.3%
n	1728	9.0%
i	1501	7.9%
r	1349	7.1%
d	667	3.5%
s	650	3.4%
	618	3.2%
l	569	3.0%
Other values (43)	5499	28.8%

country_long
Text

Distinct	92
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	18.2 KiB

Length

Max length	37
Median length	20
Mean length	11.834125
Min length	3

Characters and Unicode

Total characters	27396
Distinct characters	53
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14 ?
Unique (%)	0.6%

Sample

1st row	Belgium
2nd row	Italy
3rd row	Belgium
4th row	Australia
5th row	Great Britain

Value	Count	Frequency (%)
of	580	13.6%
united	330	7.7%
america	330	7.7%
states	330	7.7%
republic	253	5.9%
france	187	4.4%
people's	176	4.1%
china	172	4.0%
great	162	3.8%
britain	162	3.8%
Other values (99)	1581	37.1%

Most occurring characters

Value	Count	Frequency (%)
a	3220	11.8%
e	2802	10.2%
i	2098	7.7%
	1948	7.1%
t	1793	6.5%
n	1728	6.3%
r	1687	6.2%
o	1092	4.0%
l	1004	3.7%
c	908	3.3%
Other values (43)	9116	33.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	27396	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	3220	11.8%
e	2802	10.2%
i	2098	7.7%
	1948	7.1%
t	1793	6.5%
n	1728	6.3%
r	1687	6.2%
o	1092	4.0%
l	1004	3.7%
c	908	3.3%
Other values (43)	9116	33.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	27396	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	3220	11.8%
e	2802	10.2%
i	2098	7.7%
	1948	7.1%
t	1793	6.5%
n	1728	6.3%
r	1687	6.2%
o	1092	4.0%
l	1004	3.7%
c	908	3.3%
Other values (43)	9116	33.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	27396	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	3220	11.8%
e	2802	10.2%
i	2098	7.7%
	1948	7.1%
t	1793	6.5%
n	1728	6.3%
r	1687	6.2%
o	1092	4.0%
l	1004	3.7%
c	908	3.3%
Other values (43)	9116	33.3%

nationality_code
Text

Distinct	92
Distinct (%)	4.0%
Missing	1
Missing (%)	< 0.1%
Memory size	18.2 KiB

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	6942
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14 ?
Unique (%)	0.6%

Sample

1st row	BEL
2nd row	ITA
3rd row	BEL
4th row	AUS
5th row	GBR

Value	Count	Frequency (%)
usa	332	14.3%
fra	187	8.1%
chn	168	7.3%
gbr	162	7.0%
aus	123	5.3%
ned	117	5.1%
ger	113	4.9%
ita	88	3.8%
esp	83	3.6%
jpn	82	3.5%
Other values (82)	859	37.1%

Most occurring characters

Value	Count	Frequency (%)
A	978	14.1%
R	842	12.1%
S	638	9.2%
N	617	8.9%
U	601	8.7%
E	455	6.6%
G	335	4.8%
B	314	4.5%
C	281	4.0%
P	224	3.2%
Other values (16)	1657	23.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6942	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	978	14.1%
R	842	12.1%
S	638	9.2%
N	617	8.9%
U	601	8.7%
E	455	6.6%
G	335	4.8%
B	314	4.5%
C	281	4.0%
P	224	3.2%
Other values (16)	1657	23.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6942	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	978	14.1%
R	842	12.1%
S	638	9.2%
N	617	8.9%
U	601	8.7%
E	455	6.6%
G	335	4.8%
B	314	4.5%
C	281	4.0%
P	224	3.2%
Other values (16)	1657	23.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6942	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	978	14.1%
R	842	12.1%
S	638	9.2%
N	617	8.9%
U	601	8.7%
E	455	6.6%
G	335	4.8%
B	314	4.5%
C	281	4.0%
P	224	3.2%
Other values (16)	1657	23.9%

nationality
Text

Distinct	92
Distinct (%)	4.0%
Missing	1
Missing (%)	< 0.1%
Memory size	18.2 KiB

Length

Max length	19
Median length	16
Mean length	8.2718237
Min length	4

Characters and Unicode

Total characters	19141
Distinct characters	52
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14 ?
Unique (%)	0.6%

Sample

1st row	Belgium
2nd row	Italy
3rd row	Belgium
4th row	Australia
5th row	Great Britain

Value	Count	Frequency (%)
united	332	11.3%
states	332	11.3%
france	187	6.4%
china	172	5.9%
great	162	5.5%
britain	162	5.5%
australia	123	4.2%
netherlands	117	4.0%
germany	113	3.9%
italy	88	3.0%
Other values (95)	1146	39.1%

Most occurring characters

Value	Count	Frequency (%)
a	2879	15.0%
e	1871	9.8%
t	1790	9.4%
n	1734	9.1%
i	1505	7.9%
r	1353	7.1%
d	670	3.5%
s	659	3.4%
	620	3.2%
l	572	3.0%
Other values (42)	5488	28.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	19141	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	2879	15.0%
e	1871	9.8%
t	1790	9.4%
n	1734	9.1%
i	1505	7.9%
r	1353	7.1%
d	670	3.5%
s	659	3.4%
	620	3.2%
l	572	3.0%
Other values (42)	5488	28.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	19141	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	2879	15.0%
e	1871	9.8%
t	1790	9.4%
n	1734	9.1%
i	1505	7.9%
r	1353	7.1%
d	670	3.5%
s	659	3.4%
	620	3.2%
l	572	3.0%
Other values (42)	5488	28.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	19141	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	2879	15.0%
e	1871	9.8%
t	1790	9.4%
n	1734	9.1%
i	1505	7.9%
r	1353	7.1%
d	670	3.5%
s	659	3.4%
	620	3.2%
l	572	3.0%
Other values (42)	5488	28.7%

nationality_long
Text

Distinct	92
Distinct (%)	4.0%
Missing	1
Missing (%)	< 0.1%
Memory size	18.2 KiB

Length

Max length	37
Median length	19
Mean length	11.860415
Min length	4

Characters and Unicode

Total characters	27445
Distinct characters	52
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14 ?
Unique (%)	0.6%

Sample

1st row	Belgium
2nd row	Italy
3rd row	Belgium
4th row	Australia
5th row	Great Britain

Value	Count	Frequency (%)
of	582	13.6%
united	332	7.8%
america	332	7.8%
states	332	7.8%
republic	253	5.9%
france	187	4.4%
people's	176	4.1%
china	172	4.0%
great	162	3.8%
britain	162	3.8%
Other values (97)	1576	36.9%

Most occurring characters

Value	Count	Frequency (%)
a	3231	11.8%
e	2809	10.2%
i	2103	7.7%
	1952	7.1%
t	1798	6.6%
n	1734	6.3%
r	1693	6.2%
o	1094	4.0%
l	1006	3.7%
c	907	3.3%
Other values (42)	9118	33.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	27445	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	3231	11.8%
e	2809	10.2%
i	2103	7.7%
	1952	7.1%
t	1798	6.6%
n	1734	6.3%
r	1693	6.2%
o	1094	4.0%
l	1006	3.7%
c	907	3.3%
Other values (42)	9118	33.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	27445	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	3231	11.8%
e	2809	10.2%
i	2103	7.7%
	1952	7.1%
t	1798	6.6%
n	1734	6.3%
r	1693	6.2%
o	1094	4.0%
l	1006	3.7%
c	907	3.3%
Other values (42)	9118	33.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	27445	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	3231	11.8%
e	2809	10.2%
i	2103	7.7%
	1952	7.1%
t	1798	6.6%
n	1734	6.3%
r	1693	6.2%
o	1094	4.0%
l	1006	3.7%
c	907	3.3%
Other values (42)	9118	33.2%

team
Text

Missing

Distinct	101
Distinct (%)	6.5%
Missing	760
Missing (%)	32.8%
Memory size	18.2 KiB

Length

Max length	47
Median length	37
Mean length	12.73955
Min length	4

Characters and Unicode

Total characters	19810
Distinct characters	59
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	People's Republic of China
2nd row	People's Republic of China
3rd row	United States of America
4th row	United States of America
5th row	Great Britain

Value	Count	Frequency (%)
of	354	11.1%
united	232	7.3%
america	232	7.3%
states	232	7.3%
france	138	4.3%
great	125	3.9%
britain	125	3.9%
republic	122	3.8%
	98	3.1%
netherlands	98	3.1%
Other values (241)	1433	44.9%

Most occurring characters

Value	Count	Frequency (%)
a	2198	11.1%
e	1877	9.5%
	1634	8.2%
i	1427	7.2%
t	1274	6.4%
r	1233	6.2%
n	1221	6.2%
o	716	3.6%
l	620	3.1%
c	599	3.0%
Other values (49)	7011	35.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	19810	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	2198	11.1%
e	1877	9.5%
	1634	8.2%
i	1427	7.2%
t	1274	6.4%
r	1233	6.2%
n	1221	6.2%
o	716	3.6%
l	620	3.1%
c	599	3.0%
Other values (49)	7011	35.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	19810	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	2198	11.1%
e	1877	9.5%
	1634	8.2%
i	1427	7.2%
t	1274	6.4%
r	1233	6.2%
n	1221	6.2%
o	716	3.6%
l	620	3.1%
c	599	3.0%
Other values (49)	7011	35.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	19810	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	2198	11.1%
e	1877	9.5%
	1634	8.2%
i	1427	7.2%
t	1274	6.4%
r	1233	6.2%
n	1221	6.2%
o	716	3.6%
l	620	3.1%
c	599	3.0%
Other values (49)	7011	35.4%

team_gender
Categorical

High correlation Missing

Distinct	4
Distinct (%)	0.3%
Missing	760
Missing (%)	32.8%
Memory size	18.2 KiB

W	678
M	650
X	164
O	63

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1555
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	W
2nd row	W
3rd row	W
4th row	W
5th row	W

Common Values

Value	Count	Frequency (%)
W	678	29.3%
M	650	28.1%
X	164	7.1%
O	63	2.7%
(Missing)	760	32.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
w	678	43.6%
m	650	41.8%
x	164	10.5%
o	63	4.1%

Most occurring characters

Value	Count	Frequency (%)
W	678	43.6%
M	650	41.8%
X	164	10.5%
O	63	4.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1555	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
W	678	43.6%
M	650	41.8%
X	164	10.5%
O	63	4.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1555	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
W	678	43.6%
M	650	41.8%
X	164	10.5%
O	63	4.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1555	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
W	678	43.6%
M	650	41.8%
X	164	10.5%
O	63	4.1%

discipline
Categorical

High correlation

Distinct	45
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	18.2 KiB

Athletics	231
Swimming	219
Rowing	144
Football	124
Judo	105
Other values (40)	1492

Length

Max length	21
Median length	18
Mean length	9.2898488
Min length	4

Characters and Unicode

Total characters	21506
Distinct characters	43
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Cycling Road
2nd row	Cycling Road
3rd row	Cycling Road
4th row	Cycling Road
5th row	Cycling Road

Common Values

Value	Count	Frequency (%)
Athletics	231	10.0%
Swimming	219	9.5%
Rowing	144	6.2%
Football	124	5.4%
Judo	105	4.5%
Hockey	102	4.4%
Handball	94	4.1%
Fencing	90	3.9%
Cycling Track	87	3.8%
Rugby Sevens	78	3.4%
Other values (35)	1041	45.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
swimming	258	8.9%
athletics	231	8.0%
rowing	144	5.0%
football	124	4.3%
cycling	117	4.0%
judo	105	3.6%
hockey	102	3.5%
artistic	100	3.4%
basketball	96	3.3%
handball	94	3.2%
Other values (43)	1529	52.7%

Most occurring characters

Value	Count	Frequency (%)
i	2106	9.8%
n	1725	8.0%
l	1678	7.8%
t	1458	6.8%
e	1288	6.0%
o	1281	6.0%
a	1229	5.7%
g	1045	4.9%
c	884	4.1%
s	864	4.0%
Other values (33)	7948	37.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	21506	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	2106	9.8%
n	1725	8.0%
l	1678	7.8%
t	1458	6.8%
e	1288	6.0%
o	1281	6.0%
a	1229	5.7%
g	1045	4.9%
c	884	4.1%
s	864	4.0%
Other values (33)	7948	37.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	21506	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	2106	9.8%
n	1725	8.0%
l	1678	7.8%
t	1458	6.8%
e	1288	6.0%
o	1281	6.0%
a	1229	5.7%
g	1045	4.9%
c	884	4.1%
s	864	4.0%
Other values (33)	7948	37.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	21506	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	2106	9.8%
n	1725	8.0%
l	1678	7.8%
t	1458	6.8%
e	1288	6.0%
o	1281	6.0%
a	1229	5.7%
g	1045	4.9%
c	884	4.1%
s	864	4.0%
Other values (33)	7948	37.0%

event
Text

Distinct	288
Distinct (%)	12.4%
Missing	0
Missing (%)	0.0%
Memory size	18.2 KiB

Length

Max length	35
Median length	30
Mean length	13.538229
Min length	3

Characters and Unicode

Total characters	31341
Distinct characters	65
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Men's Individual Time Trial
2nd row	Men's Individual Time Trial
3rd row	Men's Individual Time Trial
4th row	Women's Individual Time Trial
5th row	Women's Individual Time Trial

Value	Count	Frequency (%)
men's	634	11.2%
women's	611	10.8%
men	404	7.2%
women	400	7.1%
team	331	5.9%
relay	251	4.4%
4	233	4.1%
x	233	4.1%
mixed	164	2.9%
100m	163	2.9%
Other values (157)	2217	39.3%

Most occurring characters

Value	Count	Frequency (%)
e	4042	12.9%
	3326	10.6%
n	2488	7.9%
m	1980	6.3%
s	1764	5.6%
o	1537	4.9%
M	1307	4.2%
'	1245	4.0%
a	1131	3.6%
l	1100	3.5%
Other values (55)	11421	36.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	31341	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	4042	12.9%
	3326	10.6%
n	2488	7.9%
m	1980	6.3%
s	1764	5.6%
o	1537	4.9%
M	1307	4.2%
'	1245	4.0%
a	1131	3.6%
l	1100	3.5%
Other values (55)	11421	36.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	31341	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	4042	12.9%
	3326	10.6%
n	2488	7.9%
m	1980	6.3%
s	1764	5.6%
o	1537	4.9%
M	1307	4.2%
'	1245	4.0%
a	1131	3.6%
l	1100	3.5%
Other values (55)	11421	36.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	31341	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	4042	12.9%
	3326	10.6%
n	2488	7.9%
m	1980	6.3%
s	1764	5.6%
o	1537	4.9%
M	1307	4.2%
'	1245	4.0%
a	1131	3.6%
l	1100	3.5%
Other values (55)	11421	36.4%

event_type
Categorical

High correlation

Distinct	6
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	18.2 KiB

HTEAM	843
TEAM	638
ATH	494
HATH	266
HCOUP	42

Length

Max length	5
Median length	4
Mean length	4.1688985
Min length	3

Characters and Unicode

Total characters	9651
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ATH
2nd row	ATH
3rd row	ATH
4th row	ATH
5th row	ATH

Common Values

Value	Count	Frequency (%)
HTEAM	843	36.4%
TEAM	638	27.6%
ATH	494	21.3%
HATH	266	11.5%
HCOUP	42	1.8%
COUP	32	1.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
hteam	843	36.4%
team	638	27.6%
ath	494	21.3%
hath	266	11.5%
hcoup	42	1.8%
coup	32	1.4%

Most occurring characters

Value	Count	Frequency (%)
T	2241	23.2%
A	2241	23.2%
H	1911	19.8%
E	1481	15.3%
M	1481	15.3%
C	74	0.8%
O	74	0.8%
U	74	0.8%
P	74	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9651	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
T	2241	23.2%
A	2241	23.2%
H	1911	19.8%
E	1481	15.3%
M	1481	15.3%
C	74	0.8%
O	74	0.8%
U	74	0.8%
P	74	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9651	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
T	2241	23.2%
A	2241	23.2%
H	1911	19.8%
E	1481	15.3%
M	1481	15.3%
C	74	0.8%
O	74	0.8%
U	74	0.8%
P	74	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9651	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
T	2241	23.2%
A	2241	23.2%
H	1911	19.8%
E	1481	15.3%
M	1481	15.3%
C	74	0.8%
O	74	0.8%
U	74	0.8%
P	74	0.8%

url_event
Text

Distinct	489
Distinct (%)	21.3%
Missing	21
Missing (%)	0.9%
Memory size	18.2 KiB

Length

Max length	79
Median length	71
Mean length	59.756321
Min length	46

Characters and Unicode

Total characters	137081
Distinct characters	38
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	122 ?
Unique (%)	5.3%

Sample

1st row	/en/paris-2024/results/cycling-road/men-s-individual-time-trial/fnl-000100--
2nd row	/en/paris-2024/results/cycling-road/men-s-individual-time-trial/fnl-000100--
3rd row	/en/paris-2024/results/cycling-road/men-s-individual-time-trial/fnl-000100--
4th row	/en/paris-2024/results/cycling-road/women-s-individual-time-trial/fnl-000100--
5th row	/en/paris-2024/results/cycling-road/women-s-individual-time-trial/fnl-000100--

Value	Count	Frequency (%)
en/paris-2024/results/football/men/fnl-000100	43	1.9%
en/paris-2024/results/football/women/fnl-000100	42	1.8%
en/paris-2024/results/hockey/men/fnl-000100	36	1.6%
en/paris-2024/results/hockey/women/fnl-000100	34	1.5%
en/paris-2024/results/handball/men/fnl-000100	32	1.4%
en/paris-2024/results/handball/women/fnl-000100	32	1.4%
en/paris-2024/results/judo/mixed-team/fnl-00010000	28	1.2%
en/paris-2024/results/rowing/women-s-eight/fnl	27	1.2%
en/paris-2024/results/rugby-sevens/men/fnl-000100	27	1.2%
en/paris-2024/results/rowing/men-s-eight/fnl	27	1.2%
Other values (479)	1966	85.7%

Most occurring characters

Value	Count	Frequency (%)
-	15989	11.7%
/	13764	10.0%
0	13401	9.8%
s	10339	7.5%
e	10178	7.4%
n	8616	6.3%
l	7231	5.3%
r	6541	4.8%
i	5244	3.8%
2	5066	3.7%
Other values (28)	40712	29.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	137081	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	15989	11.7%
/	13764	10.0%
0	13401	9.8%
s	10339	7.5%
e	10178	7.4%
n	8616	6.3%
l	7231	5.3%
r	6541	4.8%
i	5244	3.8%
2	5066	3.7%
Other values (28)	40712	29.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	137081	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	15989	11.7%
/	13764	10.0%
0	13401	9.8%
s	10339	7.5%
e	10178	7.4%
n	8616	6.3%
l	7231	5.3%
r	6541	4.8%
i	5244	3.8%
2	5066	3.7%
Other values (28)	40712	29.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	137081	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	15989	11.7%
/	13764	10.0%
0	13401	9.8%
s	10339	7.5%
e	10178	7.4%
n	8616	6.3%
l	7231	5.3%
r	6541	4.8%
i	5244	3.8%
2	5066	3.7%
Other values (28)	40712	29.7%

birth_date
Date

Distinct	1748
Distinct (%)	75.5%
Missing	0
Missing (%)	0.0%
Memory size	18.2 KiB

Minimum	1965-11-14 00:00:00
Maximum	2010-05-12 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

code_athlete
Real number (ℝ)

Distinct	2054
Distinct (%)	88.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1893320.8

Minimum	1532872
Maximum	4980004
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.2 KiB

Quantile statistics

Minimum	1532872
5-th percentile	1550169.1
Q1	1896552
median	1924464
Q3	1950498.5
95-th percentile	1971960.9
Maximum	4980004
Range	3447132
Interquartile range (IQR)	53946.5

Descriptive statistics

Standard deviation	262827.59
Coefficient of variation (CV)	0.13881831
Kurtosis	79.186269
Mean	1893320.8
Median Absolute Deviation (MAD)	27464
Skewness	7.2646854
Sum	4.3830377 × 10⁹
Variance	6.9078343 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1945125	6	0.3%
1909294	5	0.2%
1946218	5	0.2%
1935984	5	0.2%
1946198	5	0.2%
1935923	5	0.2%
1935998	4	0.2%
1967140	4	0.2%
1935938	4	0.2%
1919480	4	0.2%
Other values (2044)	2268	98.0%

Value	Count	Frequency (%)
1532872	1	< 0.1%
1532873	1	< 0.1%
1535187	1	< 0.1%
1535349	2	0.1%
1535420	1	< 0.1%
1535429	1	< 0.1%
1535513	1	< 0.1%
1535852	1	< 0.1%
1536045	1	< 0.1%
1536058	1	< 0.1%

Value	Count	Frequency (%)
4980004	1	< 0.1%
4979564	2	0.1%
4979557	1	< 0.1%
4979555	1	< 0.1%
4975921	1	< 0.1%
4669223	1	< 0.1%
4665325	1	< 0.1%
4663897	1	< 0.1%
4654306	1	< 0.1%
4343340	1	< 0.1%

code_team
Text

Missing

Distinct	284
Distinct (%)	18.3%
Missing	760
Missing (%)	32.8%
Memory size	18.2 KiB

Length

Max length	17
Median length	17
Mean length	17
Min length	17

Characters and Unicode

Total characters	26435
Distinct characters	37
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	DIVW3MTEAM2-CHN01
2nd row	DIVW3MTEAM2-CHN01
3rd row	DIVW3MTEAM2-USA01
4th row	DIVW3MTEAM2-USA01
5th row	DIVW3MTEAM2-GBR01

Value	Count	Frequency (%)
fblmteam11--esp01	22	1.4%
fblwteam11--bra01	22	1.4%
fblmteam11--fra01	21	1.4%
fblwteam11--ger01	20	1.3%
fblwteam11--usa01	20	1.3%
fblmteam11--mar01	19	1.2%
hocmteam11--ned01	18	1.2%
hocmteam11--ger01	18	1.2%
hocwteam11--ned01	17	1.1%
hocwteam11--chn01	17	1.1%
Other values (274)	1361	87.5%

Most occurring characters

Value	Count	Frequency (%)
-	3151	11.9%
M	2258	8.5%
0	2139	8.1%
1	2135	8.1%
A	2007	7.6%
E	1718	6.5%
T	1375	5.2%
R	1164	4.4%
W	1104	4.2%
S	891	3.4%
Other values (27)	8493	32.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	26435	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	3151	11.9%
M	2258	8.5%
0	2139	8.1%
1	2135	8.1%
A	2007	7.6%
E	1718	6.5%
T	1375	5.2%
R	1164	4.4%
W	1104	4.2%
S	891	3.4%
Other values (27)	8493	32.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	26435	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	3151	11.9%
M	2258	8.5%
0	2139	8.1%
1	2135	8.1%
A	2007	7.6%
E	1718	6.5%
T	1375	5.2%
R	1164	4.4%
W	1104	4.2%
S	891	3.4%
Other values (27)	8493	32.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	26435	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	3151	11.9%
M	2258	8.5%
0	2139	8.1%
1	2135	8.1%
A	2007	7.6%
E	1718	6.5%
T	1375	5.2%
R	1164	4.4%
W	1104	4.2%
S	891	3.4%
Other values (27)	8493	32.1%

is_medallist
Boolean

Imbalance

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.4 KiB

True	2268
False	47

Value	Count	Frequency (%)
True	2268	98.0%
False	47	2.0%

Interactions

Correlations

	code_athlete	discipline	event_type	gender	is_medallist	medal_code	medal_date	medal_type	team_gender
code_athlete	1.000	0.141	0.085	0.097	0.177	0.073	0.057	0.073	0.059
discipline	0.141	1.000	0.768	0.096	0.291	0.000	0.463	0.000	0.698
event_type	0.085	0.768	1.000	0.031	0.215	0.042	0.279	0.043	0.176
gender	0.097	0.096	0.031	1.000	0.000	0.000	0.234	0.000	0.921
is_medallist	0.177	0.291	0.215	0.000	1.000	0.000	0.136	0.000	0.173
medal_code	0.073	0.000	0.042	0.000	0.000	1.000	0.000	1.000	0.000
medal_date	0.057	0.463	0.279	0.234	0.136	0.000	1.000	0.000	0.468
medal_type	0.073	0.000	0.043	0.000	0.000	1.000	0.000	1.000	0.000
team_gender	0.059	0.698	0.176	0.921	0.173	0.000	0.468	0.000	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	medal_date	medal_type	medal_code	name	gender	country_code	country	country_long	nationality_code	nationality	nationality_long	team	team_gender	discipline	event	event_type	url_event	birth_date	code_athlete	code_team	is_medallist
0	2024-07-27	Gold Medal	1.0	EVENEPOEL Remco	Male	BEL	Belgium	Belgium	BEL	Belgium	Belgium	NaN	NaN	Cycling Road	Men's Individual Time Trial	ATH	/en/paris-2024/results/cycling-road/men-s-individual-time-trial/fnl-000100--	2000-01-25	1903136	NaN	True
1	2024-07-27	Silver Medal	2.0	GANNA Filippo	Male	ITA	Italy	Italy	ITA	Italy	Italy	NaN	NaN	Cycling Road	Men's Individual Time Trial	ATH	/en/paris-2024/results/cycling-road/men-s-individual-time-trial/fnl-000100--	1996-07-25	1923520	NaN	True
2	2024-07-27	Bronze Medal	3.0	van AERT Wout	Male	BEL	Belgium	Belgium	BEL	Belgium	Belgium	NaN	NaN	Cycling Road	Men's Individual Time Trial	ATH	/en/paris-2024/results/cycling-road/men-s-individual-time-trial/fnl-000100--	1994-09-15	1903147	NaN	True
3	2024-07-27	Gold Medal	1.0	BROWN Grace	Female	AUS	Australia	Australia	AUS	Australia	Australia	NaN	NaN	Cycling Road	Women's Individual Time Trial	ATH	/en/paris-2024/results/cycling-road/women-s-individual-time-trial/fnl-000100--	1992-07-07	1940173	NaN	True
4	2024-07-27	Silver Medal	2.0	HENDERSON Anna	Female	GBR	Great Britain	Great Britain	GBR	Great Britain	Great Britain	NaN	NaN	Cycling Road	Women's Individual Time Trial	ATH	/en/paris-2024/results/cycling-road/women-s-individual-time-trial/fnl-000100--	1998-11-14	1912525	NaN	True
5	2024-07-27	Bronze Medal	3.0	DYGERT Chloe	Female	USA	United States	United States of America	USA	United States	United States of America	NaN	NaN	Cycling Road	Women's Individual Time Trial	ATH	/en/paris-2024/results/cycling-road/women-s-individual-time-trial/fnl-000100--	1997-01-01	1955079	NaN	True
6	2024-07-27	Gold Medal	1.0	OH Sanguk	Male	KOR	Korea	Republic of Korea	KOR	Korea	Republic of Korea	NaN	NaN	Fencing	Men's Sabre Individual	HATH	/en/paris-2024/results/fencing/men-s-sabre-individual/fnl-000100--	1996-09-30	1927149	NaN	True
7	2024-07-27	Silver Medal	2.0	FERJANI Fares	Male	TUN	Tunisia	Tunisia	TUN	Tunisia	Tunisia	NaN	NaN	Fencing	Men's Sabre Individual	HATH	/en/paris-2024/results/fencing/men-s-sabre-individual/fnl-000100--	1997-07-22	1937783	NaN	True
8	2024-07-27	Bronze Medal	3.0	SAMELE Luigi	Male	ITA	Italy	Italy	ITA	Italy	Italy	NaN	NaN	Fencing	Men's Sabre Individual	HATH	/en/paris-2024/results/fencing/men-s-sabre-individual/fnl-000200--	1987-07-25	1924595	NaN	True
9	2024-07-27	Gold Medal	1.0	KONG Man Wai Vivian	Female	HKG	Hong Kong, China	Hong Kong, China	HKG	Hong Kong, China	Hong Kong, China	NaN	NaN	Fencing	Women's Épée Individual	HATH	/en/paris-2024/results/fencing/women-s-epee-individual/fnl-000100--	1994-02-08	1963262	NaN	True

	medal_date	medal_type	medal_code	name	gender	country_code	country	country_long	nationality_code	nationality	nationality_long	team	team_gender	discipline	event	event_type	url_event	birth_date	code_athlete	code_team	is_medallist
2305	2024-08-10	Silver Medal	2.0	BAKANOV Shani	Female	ISR	Israel	Israel	ISR	Israel	Israel	Israel	W	Rhythmic Gymnastics	Group All-Around	TEAM	NaN	2006-02-27	1908226	GRYW5AA-----ISR01	True
2306	2024-08-10	Silver Medal	2.0	FRIEDMANN Adar	Female	ISR	Israel	Israel	ISR	Israel	Israel	Israel	W	Rhythmic Gymnastics	Group All-Around	TEAM	NaN	2006-07-18	1908240	GRYW5AA-----ISR01	True
2307	2024-08-10	Silver Medal	2.0	PARITZKI Romi	Female	ISR	Israel	Israel	ISR	Israel	Israel	Israel	W	Rhythmic Gymnastics	Group All-Around	TEAM	NaN	2004-06-17	1908233	GRYW5AA-----ISR01	True
2308	2024-08-10	Silver Medal	2.0	SHAHAM Ofir	Female	ISR	Israel	Israel	ISR	Israel	Israel	Israel	W	Rhythmic Gymnastics	Group All-Around	TEAM	NaN	2004-11-23	1908235	GRYW5AA-----ISR01	True
2309	2024-08-10	Silver Medal	2.0	SVERTSOV Diana	Female	ISR	Israel	Israel	ISR	Israel	Israel	Israel	W	Rhythmic Gymnastics	Group All-Around	TEAM	NaN	2004-11-15	1908230	GRYW5AA-----ISR01	True
2310	2024-08-10	Bronze Medal	3.0	CENTOFANTI Martina	Female	ITA	Italy	Italy	ITA	Italy	Italy	Italy	W	Rhythmic Gymnastics	Group All-Around	TEAM	NaN	1998-05-19	1923700	GRYW5AA-----ITA01	True
2311	2024-08-10	Bronze Medal	3.0	DURANTI Agnese	Female	ITA	Italy	Italy	ITA	Italy	Italy	Italy	W	Rhythmic Gymnastics	Group All-Around	TEAM	NaN	2000-12-18	1923701	GRYW5AA-----ITA01	True
2312	2024-08-10	Bronze Medal	3.0	MAURELLI Alessia	Female	ITA	Italy	Italy	ITA	Italy	Italy	Italy	W	Rhythmic Gymnastics	Group All-Around	TEAM	NaN	1996-08-22	1923699	GRYW5AA-----ITA01	True
2313	2024-08-10	Bronze Medal	3.0	MOGUREAN Daniela	Female	ITA	Italy	Italy	ITA	Italy	Italy	Italy	W	Rhythmic Gymnastics	Group All-Around	TEAM	NaN	2001-07-16	1923703	GRYW5AA-----ITA01	True
2314	2024-08-10	Bronze Medal	3.0	PARIS Laura	Female	ITA	Italy	Italy	ITA	Italy	Italy	Italy	W	Rhythmic Gymnastics	Group All-Around	TEAM	NaN	2002-09-07	1923704	GRYW5AA-----ITA01	True

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)